ArticleScientific reports2025
Identification of heterogeneity and common characteristics in colorectal carcinoma located in distinct sites.
Article in Scientific reports, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
What it found
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The abstract states no effect estimate the extractor could read, or names no intervention and outcome on the map, so this paper lights no cell and moves no belief. It is still indexed, cited and linked below.
The trial behind it
Trials whose registry record cites this paper, or whose number appears in the abstract. A trial that started after this paper was published is citing it as background, not reporting it.
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Who cites it
1 citing paper in PubMed.
- Bioinformatics combined with machine learning for the identification of malignant transformation markers in colorectal polyps.Frontiers in molecular biosciences · 2026Article
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Authors and funding
5 authors.
Funding
Abstract
Numerous reports have highlighted distinct clinical and biological characteristics between right-sided and left-sided colon cancers. Despite this research on commonalities and divergences among colorectal cancers (CRC) at different locations remain sparse. In order to elucidate gene expression disparities across various intestinal regions in CRC, we sourced several data series from the Gene Expression Omnibus (GEO) database. We isolated 344 tumor and 54 normal cases spanning seven locations: sigmoid, ascending, caecum, rectum, transverse, descending, and recto-sigmoid. Cell biological functions were assessed utilizing CCK8, EdU assays, Transwell assays, and wound healing assays. We identified location-related differentially expressed genes (DEGs) and their functional enrichment. TNFSF4 exhibited variances between the transverse and descending regions, allowing for discrimination of tumor tissues across four locations (sigmoid, ascending, caecum, and descending) via immune cells. Moreover, we identified 16 hub genes that collectively indicate commonality among the seven different tissue origins. Furthermore, 6 location-related genes, including DCBLD2, GTF3A, GSS, PDK1, TEAD3 and EGR2 were identified for targeted interventions. In vitro experiments indicated that increased GZMB and decreased IER3 reduced CRC cell proliferation, migration, and invasion. In summary, 16 hub genes and 6 location-related genes enhance our understanding of the potential molecular mechanisms underlying CRC spatial heterogeneity. Furthermore, GZMB and IER3 might be potential targets for CRC therapy.
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